2024
DOI: 10.1017/s0140525x24000207
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The added value of affective processes for models of human cognition and learning

Yoann Stussi,
Daniel Dukes,
David Sander

Abstract: Building on the affectivism approach, we expand on Binz et al.'s meta-learning research program by highlighting that emotion and other affective phenomena should be key to the modeling of human learning. We illustrate the added value of affective processes for models of learning across multiple domains with a focus on reinforcement learning, knowledge acquisition, and social learning.

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